Image Reconstruction in Quantitative Photoacoustic Tomography with the Simplified P2 Approximation

被引:8
|
作者
Frederick, Christina [1 ]
Ren, Kui [2 ,3 ]
Vallelian, Sarah [4 ]
机构
[1] New Jersey Inst Technol, Dept Math Sci, University Hts, NJ 07102 USA
[2] Univ Texas Austin, Dept Math, Austin, TX 78712 USA
[3] Univ Texas Austin, Inst Computat Engn & Sci, Austin, TX 78712 USA
[4] North Carolina State Univ, Dept Math, Raleigh, NC 27695 USA
来源
SIAM JOURNAL ON IMAGING SCIENCES | 2018年 / 11卷 / 04期
基金
美国国家科学基金会;
关键词
photoacoustic tomography; radiative transport equation; simplified P-2 approximation; diffusion approximation; hybrid inverse problems; hybrid imaging; image reconstruction; numerical optimization; OPTICAL TOMOGRAPHY; INVERSION FORMULAS; CONSTRAINED OPTIMIZATION; TRANSPORT; EQUATIONS; SCATTERING; ALGORITHM; SERIES; MODEL;
D O I
10.1137/18M1195656
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Photoacoustic tomography (PAT) is a hybrid imaging modality that intends to construct high resolution images of optical properties of heterogeneous media from measured acoustic data generated by the photoacoustic effect. To date, most of the model-based quantitative image reconstructions in PAT are performed with either the radiative transport equation or its classical diffusion approximation as the model of light propagation. In this work, we study quantitative image reconstructions in PAT using the simplified P-2 equations as the light propagation model. We provide numerical evidences on the feasibility of this approach and derive some stability results as theoretical justifications.
引用
收藏
页码:2847 / 2876
页数:30
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